Keywords
Sports Organizations
AI in Sports, Data Analytics
Fan Engagement
Player Recruitment
Revenue Growth
Systematic Analysis
How to Cite
Abstract
Purpose: To explore the role that Competitive Intelligence (CI) has played in supporting the performance of sports organizations. The use of CI tools, such as AI, predictive analytics, and big data, in recruiting players, improving fan experience, and revenue growth.
Methodology/approach: The research is grounded in a mixed-methods approach, incorporating quantitative data (a survey of 120 sports professionals) and qualitative data (18 semi-structured interviews with CI professionals and sports managers). The correlation between CI use and revenue growth was determined through regression and Pearson correlation, and a strong correlation was found between CI in player recruitment and revenue growth (r = 0.82).
Originality/Relevance: The study presents the paradigm shift in CI in sports organizations. CI is increasingly becoming a key instrument for competitive advantage, as the uptake of data-driven decision-making has improved on-field performance and off-field financial performance.
Key Findings: The paper concludes that CI tools can contribute to the enhancement of player recruitment and fan engagement in particular, and both directions indicate a strong positive effect on the growth rate of the revenues.
Theoretical/Methodological Contributions: The given paper offers an in-depth review of the existing knowledge on CI in sports organizations. It adds to the body of literature on sports management by combining CI tools with organizational performance measures to provide a comprehensive framework for future studies on the implementation and effects of CI in sports.
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